color-constancy

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

Reference code for the paper Auto White-Balance Correction for Mixed-Illuminant Scenes.

[CVPR2020] A Multi-Hypothesis Approach to Color Constancy

Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.

C++ Automated white balance using lodepng and some color correction

A PyTorch implementation of FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Implementation of the method described in the paper "Quasi-unsupervised color constancy" - CVPR 2019

Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)

Semantic information can help CNNs to get better illuminant estimation -- a proof of concept

Code for "Time-Aware Auto White Balance in Mobile Photography"

Reference code for the paper Interactive White Balancing for Camera-Rendered Images Mahmoud Afifi and Michael S. Brown. In Color and Imaging Conference (CIC), 2020.

Code for "Time-Aware Auto White Balance in Mobile Photography" (ICCV 2025)

Matlab Implementation of VISSAP 2019 <<Revisiting Gray Pixel for Statistical Illumination Estimation>>

Bias correction method for illuminant estimation -- JOSA 2019

Companion repository for the paper "Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy" submitted to XAI2024.

Companion repository for the paper "Cascading Convolutional Temporal Color Constancy" submitted to the Journal of Electronic Imaging